Dana A. Roark

867 total citations
12 papers, 624 citations indexed

About

Dana A. Roark is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Dana A. Roark has authored 12 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 11 papers in Computer Vision and Pattern Recognition and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Dana A. Roark's work include Face Recognition and Perception (12 papers), Face recognition and analysis (11 papers) and Evolutionary Psychology and Human Behavior (3 papers). Dana A. Roark is often cited by papers focused on Face Recognition and Perception (12 papers), Face recognition and analysis (11 papers) and Evolutionary Psychology and Human Behavior (3 papers). Dana A. Roark collaborates with scholars based in United States. Dana A. Roark's co-authors include Alice J. O’Toole, Hervé Abdi, Susan E. Barrett, P. Jonathon Phillips, Joseph Dunlop, Samuel Weimer, Melanie J. Spence, Sarah Elizabeth Barrett, Annie S. Wu and R. E. Franklin and has published in prestigious journals such as Trends in Cognitive Sciences, Vision Research and Journal of Vision.

In The Last Decade

Dana A. Roark

11 papers receiving 611 citations

Peers

Dana A. Roark

CN

CVPR

ECP

SP

Allan McNeill United Kingdom

Anna K. Bobak United Kingdom

Kathryn H. McWeeny United Kingdom

Thomas Grüter Germany

Matthew C. Fysh United Kingdom

Martina Grüter Germany

Talia L. Retter France

Luc Boutsen United Kingdom

Josée Rivest Canada

Kat Agres Singapore

Allan McNeill United Kingdom

Dana A. Roark

442 ×0.9

CN

246 ×0.8

CVPR

239 ×1.0

ECP

94 ×1.1

SP

28 ×0.5

SP

Citations per year, relative to Dana A. Roark Dana A. Roark (= 1×) peers Allan McNeill

Countries citing papers authored by Dana A. Roark

Since Specialization

Citations

This map shows the geographic impact of Dana A. Roark's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dana A. Roark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana A. Roark more than expected).

Fields of papers citing papers by Dana A. Roark

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana A. Roark. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dana A. Roark. The network helps show where Dana A. Roark may publish in the future.

Co-authorship network of co-authors of Dana A. Roark

This figure shows the co-authorship network connecting the top 25 collaborators of Dana A. Roark. A scholar is included among the top collaborators of Dana A. Roark based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dana A. Roark. Dana A. Roark is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

O’Toole, Alice J., et al.. (2010). Recognizing people from dynamic and static faces and bodies: Dissecting identity with a fusion approach. Vision Research. 51(1). 74–83. 100 indexed citations

2.

Roark, Dana A., Alice J. O’Toole, & Hervé Abdi. (2010). Recognizing people from naturalistic video: The effects of facial motion and familiarity. Journal of Vision. 3(9). 303–303.

3.

O’Toole, Alice J., Dana A. Roark, & Hervé Abdi. (2010). Recognizing moving faces: A psychological and neural synthesis. Journal of Vision. 2(7). 604–604. 6 indexed citations

4.

Roark, Dana A., Hervé Abdi, & Alice J. O’Toole. (2010). When does an unfamiliar face become familiar? The effect of image type and familiarity on recognition from novel viewing conditions. Journal of Vision. 6(6). 12–12. 2 indexed citations

5.

Roark, Dana A., Alice J. O’Toole, Hervé Abdi, & Susan E. Barrett. (2006). Learning the Moves: The Effect of Familiarity and Facial Motion on Person Recognition across Large Changes in Viewing Format. Perception. 35(6). 761–773. 36 indexed citations

6.

O’Toole, Alice J., et al.. (2004). Perceptual matching of identity between faces and video. Journal of Vision. 4(8). 422–422. 1 indexed citations

7.

Roark, Dana A., Alice J. O’Toole, & Hervé Abdi. (2004). Human recognition of familiar and unfamiliar people in naturalistic video. 1. 36–41. 17 indexed citations

8.

Roark, Dana A., et al.. (2004). Repetition-based familiarity improves person recognition in novel contexts. Journal of Vision. 4(8). 434–434. 9 indexed citations

9.

Roark, Dana A., Susan E. Barrett, Melanie J. Spence, Hervé Abdi, & Alice J. O’Toole. (2003). Psychological and Neural Perspectives on the Role of Motion in Face Recognition. PubMed. 2(1). 15–46. 65 indexed citations

10.

Roark, Dana A., Susan E. Barrett, & Alice J. O’Toole. (2003). Memory for moving faces: Psychological and Neural Perspectives on the Role of Motion in Face Recognition. 15 indexed citations

11.

O’Toole, Alice J., Dana A. Roark, & Hervé Abdi. (2002). Recognition of moving faces: a psychological and neural perspective. Trends in Cognitive Sciences. 6. 4 indexed citations

12.

O’Toole, Alice J., Dana A. Roark, & Hervé Abdi. (2002). Recognizing moving faces: a psychological and neural synthesis. Trends in Cognitive Sciences. 6(6). 261–266. 369 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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